Data from: Modeling the Spread of a Livestock Disease With Semi-Supervised Spatiotemporal Deep Neural Networks

This dataset contains the spatiotemporal data used to train the spatiotemporal deep neural networks described in "Modeling the Spread of a Livestock Disease With Semi-Supervised Spatiotemporal Deep Neural Networks". The dataset consists of two sets of NumPy arrays. The first set: X_grid.npy and Y_grid.npy were used to train the convolutional LSTM, while the second set: X_graph.npy, Y_graph.npy, and edge_index.npy were used to train the graph convolutional LSTM. The data consists of spatiotemporally varying environmental and anthropogenic variables along with case reports of vesicular stomatitis. Resources in this dataset:Resource Title: NumPy Arrays of Spatiotemporal Features and VS Cases. File Name: vs_data.zipResource Description: This is a ZIP archive containing five NumPy arrays of spatiotemporal features and geotagged VS cases.Resource Software Recommended: NumPy,url: https://numpy.org/

本数据集收录了用于训练在《利用半监督时空深度神经网络建模牲畜疾病传播》一文中描述的时空深度神经网络所使用的时空数据。数据集包含两组 NumPy 数组。第一组：X_grid.npy 和 Y_grid.npy，用于训练卷积 LSTM；第二组：X_graph.npy、Y_graph.npy 以及 edge_index.npy，用于训练图卷积 LSTM。数据包含了时空变化的生态环境和人为因素变量，以及口蹄疫病例报告。数据集中包含的资源：资源标题：时空特征和口蹄疫病例的 NumPy 数组。文件名：vs_data.zip。资源描述：这是一个包含五个时空特征和地理标记口蹄疫病例的 NumPy 数组的 ZIP 存档。推荐使用软件：NumPy，网址：https://numpy.org/。